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Data Engineer| Remote| Contract

Roles & Responsibilities

  • Bachelor's degree in computer science or a related field
  • 5-7 years of experience with Snowflake, Databricks management, Python and AWS Lambda; Scala and/or Java; SQL and ELT/ETL
  • Azure or AWS for development and deployment; Jira or similar SDLC tool experience
  • Experience managing codebases using Git/GitHub or Bitbucket; familiarity with data warehouses and structured/semi-structured data formats (JSON, Avro, ORC, Parquet, XML); experience working in an Agile environment

Requirements:

  • Design and implement core data analytic platform components shared across analytics groups; review approaches and completed data pipelines against platform best practices and patterns
  • Maintain and design a common data flow pipeline and ETL data transformation activities; support and troubleshoot data flow activities on cloud data warehouse environments
  • Develop data pipeline code using Python, Java, AWS Lambda and/or Azure Data Factory; perform requirements planning, monitoring, and end-to-end requirements management throughout the data asset development lifecycle
  • Direct and help other developers and analysts to ensure data platform patterns are adhered; design, build, and document RESTful APIs using OpenAPI specifications such as Swagger

Job description

Title: Data Engineer

Job Type: Contract

Location: 100% Remote work (India)

Salary: (INR)Open/Market

Requirements

Responsibilities :

  • Design and implement core data analytic platform components that would be shared extended to different analytics group.
  • Review approaches and completed data pipelines against platform best practices and patterns.
  • Maintain and design a common data flow pipeline data transformation activities such as Extract Transform Load (ETL).
  • Support and troubleshoot the data flow activities on cloud data warehouse environments.
  • Develop data pipeline code using Python, Java, AWS Lambda and/or Azure Data Factory
  • Perform requirements planning, monitoring, and end-to-end requirements management throughout the data asset development life-cycle.
  • Direct and help other developers and analyst to ensure data platform patterns are adhered.
    • Designing, building, and documenting RESTful API using OpenAPI specification tools such as Swagger
    • Microsoft PowerBI
    • Snowflake Data warehouse, MS SQL Data warehouse
    • Apache Spark or Hadoop
    • SparkR
    • Linux/PowerShell scripting
    • AWS Lambda or Azure function

Desired Skills :

Required Experience :

  • Bachelor’s degree in computer Science or related field
  • 5-7 years’ experience in the following:
    • Snowflake, Databricks management,
    • Python and AWS Lambda
    • Scala and/or Java
    • Data integration service, SQL and Extract Transform Load (ELT)
    • Azure or AWS for development and deployment
    • Jira or similar tool during SDLC
    • Experience managing codebase using Code repository in Git/GitHub or Bitbucket
  • Experience working with a data warehouse.
  • Familiarity with structured and semi-structured data formats including JSON, Avro, ORC, Parquet, or XML
  • Exposure to working in an agile work environment.

Benefits

If interested please send your updated resume to : rehana.j@two95intl.com and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

We look forward to hearing from you at the earliest.

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